Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

GPU Engineer

European Tech Recruit
Newcastle upon Tyne
10 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer - Applied AI Systems

Software Engineer - Graph Data Science

Staff Engineer - Machine Learning

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

We are seeking talented and experienced GPU Engineers to join our team and help drive the development of advanced graphics and compute technologies. The ideal candidate will have a strong background in GPU architecture, graphics pipeline development, or computational acceleration, with a passion for optimizing performance, efficiency, and user experiences in cutting-edge systems.


Responsibilities


  • Design, implement, and optimize GPU hardware and software systems for advanced graphics and compute performance.
  • Develop, enhance, and maintain graphics drivers, APIs, and firmware to support a wide range of applications, including gaming, AI, and multimedia.
  • Analyze and improve GPU performance through profiling, debugging, and optimization at both hardware and software levels.
  • Collaborate with cross-functional teams, including hardware engineers, software developers, and system architects, to deliver integrated solutions.
  • Contribute to GPU architecture development, including shader cores, memory hierarchies, and parallel compute units.
  • Research and implement state-of-the-art techniques in graphics rendering, AI acceleration, or power management.
  • Drive innovations in GPU design to meet the demands of emerging technologies and use cases.


Qualifications


  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field (Ph.D. is a plus).
  • Strong understanding of GPU architecture, parallel processing, and the graphics pipeline.
  • Proficiency in programming languages such as C/C++, OpenCL, CUDA, or Vulkan/DirectX/Metal.
  • Experience with GPU performance analysis tools and techniques.
  • Familiarity with machine learning frameworks and their acceleration on GPUs is a plus.
  • Strong problem-solving skills and ability to work effectively in a collaborative environment.


Preferred Skills


  • Knowledge of low-power GPU design and optimization techniques.
  • Experience with hardware-software co-design.
  • Familiarity with mobile or embedded system constraints and requirements.
  • Passion for cutting-edge graphics and compute technologies.


This role offers an exciting opportunity to work on innovative GPU solutions that power a wide range of devices, from mobile platforms to high-performance computing systems. If you thrive on solving complex technical challenges and shaping the future of graphics and compute technologies, we would love to hear from you!


If this sounds like the perfect opportunity for you,apply nowor send your CV tonk@eu-recruit. We look forward to hearing from you!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.